Seyi Olajuyi
About Seyi Olajuyi
Seyi Olajuyi is a Software Engineer with a background in various technology roles, including positions at CodePath.org, ColorStack, and Google. He holds a Bachelor of Engineering in Computer Engineering from Stony Brook University and has expertise in multiple programming languages.
Current Role at Exabeam
Seyi Olajuyi is currently employed as a Software Engineer at Exabeam, a position he has held since 2023. In this role, he contributes to the development and enhancement of software solutions within the organization. His responsibilities involve applying his technical skills to improve system performance and reliability.
Previous Experience at CodePath.org
In 2022, Seyi Olajuyi served as a Cybersecurity Tech Fellow at CodePath.org for one month. During this brief tenure, he engaged in initiatives aimed at enhancing cybersecurity education and practices, contributing to the organization's mission of preparing underrepresented students for careers in technology.
Background in Software Engineering and Internships
Seyi has a diverse background in software engineering, having held various roles in notable companies. He was a Software Engineering Fellow at JPMorgan Chase & Co. in 2020, where he worked for one month. He also completed a six-month stint as a Site Reliability Engineer at Google from 2022 to 2023. Additionally, he gained experience as an Electrical Engineering Intern at L3Harris Technologies in 2020.
Education and Academic Involvement
Seyi Olajuyi earned a Bachelor of Engineering in Computer Engineering from Stony Brook University. He was actively involved in the university as a Teaching Assistant for a course on Digital Design Using VHDL & PLDs in 2022. Furthermore, he worked as a Student Technologist from 2019 to 2022, supporting various technology initiatives within the institution.
Technical Skills and Areas of Expertise
Seyi possesses expertise in a wide range of programming languages, including C, C++, Golang, VHDL, Java, Python, MATLAB, and JavaScript. His interests span Software Engineering, Embedded-Software Engineering, and Machine Learning, reflecting his commitment to advancing his technical knowledge and skills in these areas.